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20142026
most citedComparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

32 citations · 58 across the 16 of their papers we have counts for

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math.NA2026

Deep learning methods for stochastic Galerkin approximations of random domain problems

Fabio Musco, Andrea Barth

This work considers strong and weak stochastic Galerkin approximations of random domain problems for the elliptic random partial differential equation (PDE). The random domain prob…